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Is there an Advantage to Working? The Relationship between Maternal Employment and Intergenerational Mobility
September 2015
Working Paper Number:
CES-15-27
We investigate the question of whether investing in a child's development by having a parent stay at home when the child is young is correlated with the child's adult outcomes. Specifically, do children with stay-at-home mothers have higher adult earnings than children raised in households with a working mother? The major contribution of our study is that, unlike previous studies, we have access to rich longitudinal data that allows us to measure both the parental earnings when the child is very young and the adult earnings of the child. Our findings are consistent with previous studies that show insignificant differences between children raised by stay-at-home mothers during their early years and children with mothers working in the market. We find no impact of maternal employment during the first 5 years of a child's life on earnings, employment, or mobility measures of either sons or daughters. We do find, however, that maternal employment during children's high school years is correlated with a higher probability of employment as adults for daughters and a higher correlation between parent and daughter earnings ranks.
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Modeling Endogenous Mobility in Wage Determiniation
June 2015
Working Paper Number:
CES-15-18
We evaluate the bias from endogenous job mobility in fixed-effects estimates of worker- and
firm-specific earnings heterogeneity using longitudinally linked employer-employee data from the LEHD infrastructure file system of the U.S. Census Bureau. First, we propose two new residual diagnostic tests of the assumption that mobility is exogenous to unmodeled determinants of earnings. Both tests reject exogenous mobility. We relax the exogenous mobility assumptions by modeling the evolution of the matched data as an evolving bipartite graph using a Bayesian latent class framework. Our results suggest that endogenous mobility biases estimated firm effects toward zero. To assess validity, we match our estimates of the wage components to out-of-sample estimates of revenue per worker. The corrected estimates attribute much more of the variation in revenue per worker to variation in match quality and worker quality than the uncorrected estimates.
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Changes in EITC Eligibility and Participation, 2005'2009
July 2014
Working Paper Number:
carra-2014-04
The rate of participation in the Earned Income Tax Credit (EITC) has been widely studied, but changes over time in eligibility for the credit have received less attention. One question of importance to policy-makers is whether (or by how much) eligibility might increase during economic downturns. The EITC is fundamentally tied to work. During periods of high unemployment, eligibility may decrease due to a lower number of workers - especially low-skilled workers - filing for a given tax year. On the other hand, family structure and underemployment may lead to increases in eligibility. For example, earners may become eligible when a two-earner family loses one job or when an earner works part of the year or fewer hours. Using IRS tax data linked with the Current Population Survey Annual Social and Economic Supplement (CPS ASEC), I examine changes in EITC eligibility and take-up between tax years 2005 and 2009, during which time the Great Recession began and ended. Employing fixed-effects models, I assess patterns of eligibility among demographic groups based on characteristics that also predict labor market outcomes. Results indicate that, in a period when overall EITC eligibility rates increased, the state unemployment rate had a significant positive effect on eligibility and a significant negative effect on take-up. Meanwhile, although joint filers, those with more children, and men experienced increasing rates of eligibility, those with less education experienced decreasing rates. Results point to the possibility that labor market groups who experienced the highest rates of unemployment in the recession may have become ineligible due to full-year job loss.
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LEHD Infrastructure files in the Census RDC - Overview
June 2014
Working Paper Number:
CES-14-26
The Longitudinal Employer-Household Dynamics (LEHD) Program at the U.S. Census Bureau, with the support of several national research agencies, maintains a set of infrastructure files using administrative data provided by state agencies, enhanced with information from other administrative data sources, demographic and economic (business) surveys and censuses. The LEHD Infrastructure Files provide a detailed and comprehensive picture of workers, employers, and their interaction in the U.S. economy. This document describes the structure and content of the 2011 Snapshot of the LEHD Infrastructure files as they are made available in the Census Bureaus secure and restricted-access Research Data Center network. The document attempts to provide a comprehensive description of all researcher-accessible files, of their creation, and of any modifcations made to the files to facilitate researcher access.
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Testing for Wage Discrimination in U.S. Manufacturing
September 2012
Working Paper Number:
CES-12-23
In spite of the large literature on labor market discrimination, the quantity of solid evidence on discrimination is relatively limited. This is because evidence of discrimination is difficult to obtain. Two individuals may be treated equally, but this does not prove discrimination unless we can show that the differences in treatment were not justified by differences in productivity. The method most commonly used to identify wage discrimination, the Oaxaca decomposition, is flawed because any omitted variables that are correlated with gender will contribute to the unexplained portion of the wage gap, leading to an over- or under-estimation of wage discrimination. Audit studies provide more direct evidence of differential treatment, but are costly to carry out. Only a small number of studies attempt to measure worker productivity to see if wage differences are justified. This may be because the data needed to measure productivity are difficult to obtain. This paper tests for wage discrimination by gender and race by estimating relative productivity from 2002 Census of Manufacturing data linked to demographic information on workers from Longitudinal Employer-Household Dynamics (LEHD) files. Comparing the estimated productivity ratios to the observed wage ratios, I conclude that females and blacks face wage discrimination in US manufacturing.
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The Emergence of Wage Discrimination in U.S. Manufacturing
June 2011
Working Paper Number:
CES-11-18
This paper examines the hypothesis that wage discrimination emerged at the beginning of the twentieth century. I test for wage discrimination by estimating the female-male productivity ratio from samples of manufacturing firms in the northeast, and then comparing the estimated productivity ratio to the wage ratio. I find that women did not face wage discrimination in manufacturing during the nineteenth century. In 1900 there was wage discrimination against women in white-collar jobs, but not in blue-collar jobs. Wage discrimination persisted, and in 2002 the female-male wage ratio was less than the productivity ratio.
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Parental Earnings and Children's Well-Being and Future Success: An Analysis of the SIPP Matched to SSA Earnings Data
April 2011
Working Paper Number:
CES-11-12
We estimate the association between parental earnings and a wide variety of indicators of child well-being using data from the Survey of Income and Program Participation (SIPP) matched to administrative earnings records from the Social Security Administration. We find that the use of longer time averages of parent earnings leads to substantially higher estimated effects compared to using only a single year of parent earnings. This suggests that previous studies may have understated the potential efficacy of income support programs to improve child well-being. Further, policy makers should take into account the attenuation bias when comparing studies that use different time spans to measure parental income. Using 7 year time averages of parent earnings, we show for example, that a doubling of parent earnings reduces the probability of a teenager reporting being in poor health by close to 50 percent and a child having insufficient food by 75 percent.
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National Estimates of Gross Employment and Job Flows from the Quarterly Workforce Indicators with Demographic and Industry Detail
June 2010
Working Paper Number:
CES-10-11
The Quarterly Workforce Indicators (QWI) are local labor market data produced and released every quarter by the United States Census Bureau. Unlike any other local labor market series produced in the U.S. or the rest of the world, the QWI measure employment flows for workers (accession and separations), jobs (creations and destructions) and earnings for demographic subgroups (age and gender), economic industry (NAICS industry groups), detailed geography (block (experimental), county, Core- Based Statistical Area, and Workforce Investment Area), and ownership (private, all) with fully interacted publication tables. The current QWI data cover 47 states, about 98% of the private workforce in those states, and about 92% of all private employment in the entire economy. State participation is sufficiently extensive to permit us to present the first national estimates constructed from these data. We focus on worker, job, and excess (churning) reallocation rates, rather than on levels of the basic variables. This permits comparison to existing series from the Job Openings and Labor Turnover Survey and the Business Employment Dynamics Series from the Bureau of Labor Statistics. The national estimates from the QWI are an important enhancement to existing series because they include demographic and industry detail for both worker and job flow data compiled from underlying micro-data that have been integrated at the job and establishment levels by the Longitudinal Employer-Household Dynamics Program at the Census Bureau. The estimates presented herein were compiled exclusively from public-use data series and are available for download.
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Health-Related Research Using Confidential U.S. Census Bureau Data
August 2008
Working Paper Number:
CES-08-21
Economic studies on health-related issues have the potential to benefit all Americans. The approaches for dealing with the growth of health care costs and health insurance coverage are ever changing and information is needed on their efficacy. Research on health-related topics has been conducted for about a decade at the Census Bureau\u2019s Center for Economic Studies and the Research Data Centers. This paper begins by describing the confidential business and demographic Census Bureau data products used in this research. The discussion continues with summaries of nearly 30 papers, including how this work has benefited the Census Bureau and its research findings. Some focus on data linkages and assessing data quality, while others address important questions in the employer, public, and individual insurance markets. This research could not have been accomplished with public-use data. The newly available data from the Agency for Healthcare Research and Quality and National Center for Health Statistics, as well as additional Census Bureau data now available in the Research Data Centers are also discussed.
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Is There Really an Export Wage Premium? A Case Study of Los Angeles Using Matched Employee-Employer Data
February 2006
Working Paper Number:
CES-06-06
This paper investigates the effects of exporting on wages, specifically the claim that workers are paid higher wages if they are employed in manufacturing plants that export vis-'-vis plants that do not export. Past research on US plants has supported the existence of an export wage premium, though European studies dispute those results calling for more care in econometric investigation to control for worker characteristics. We answer this call developing a matched employee-employer data set linking worker characteristics from the one-in-six long form of the Decennial Household Census to manufacturing establishment data from the Longitudinal Research Database. Analysis focuses on 1990 and 2000 data for the Los Angeles Consolidated Metropolitan Statistical Area. Our results confirm that the average wage in manufacturing plants that export is greater than that in manufacturing plants that do not export. However, after controlling for worker characteristics such as age, gender, education, race and nationality, the export wage premium vanishes. That is, when comparing workers with similar characteristics, there is no wage difference between exporting and non-exporting plants. These results concord with recent findings from Europe and elsewhere.
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